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McGrath, William E.; Hickey, Thomas B. – 1983
This report describes the multidimensional scaling (MDS) method for interpreting collection overlap based on the number of books held by pairs of libraries in large groups (as many as 100 libraries or more). MDS results for four groups of libraries sampled from the OCLC database are also presented. MDS is described as a class of data-analytic or…
Descriptors: Cluster Analysis, Databases, Library Acquisition, Library Collections
Peer reviewed Peer reviewed
McCain, Katherine W. – Journal of the American Society for Information Science, 1984
Author cocitation analysis was used to investigate changes in intellectual structure of macroeconomics over two consecutive time periods, 1972-1977 and 1978-1983. Profile analysis, nonmetric multidimensional scaling, and clustering techniques were used to create two-dimensional maps displaying changing relationships among 41 authors as perceived…
Descriptors: Authors, Citations (References), Cluster Analysis, Cluster Grouping
Koch, William R. – 1983
The technique of nonmetric multidimensional scaling (MDS) was applied to real item response data obtained from a multiple-choice achievement test of unknown dimensionality. The goal was to classify the 50 items into the various subtests from which they were drawn originally, the latter being unknown to the investigator. Issues addressed in the…
Descriptors: Achievement Tests, Cluster Analysis, Latent Trait Theory, Multidimensional Scaling
Peer reviewed Peer reviewed
Gliner, Gail S. – School Science and Mathematics, 1989
Examines the students' understanding of mathematical structure and the relationship between problem solving and the identification of the structure in 13 word problems. Multidimensional scaling and hierarchical cluster analysis were used to assess how subjects organized word problems in their minds. (YP)
Descriptors: Classification, Cluster Analysis, College Mathematics, Mathematical Applications
Jones, Patricia B.; And Others – 1987
In order to determine the effectiveness of multidimensional scaling (MDS) in recovering the dimensionality of a set of dichotomously-scored items, data were simulated in one, two, and three dimensions for a variety of correlations with the underlying latent trait. Similarity matrices were constructed from these data using three margin-sensitive…
Descriptors: Cluster Analysis, Correlation, Difficulty Level, Error of Measurement